Shumin Han

1.1k total citations · 1 hit paper
20 papers, 288 citations indexed

About

Shumin Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Shumin Han has authored 20 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Management Science and Operations Research. Recurrent topics in Shumin Han's work include Data Quality and Management (8 papers), Privacy-Preserving Technologies in Data (7 papers) and Cryptography and Data Security (5 papers). Shumin Han is often cited by papers focused on Data Quality and Management (8 papers), Privacy-Preserving Technologies in Data (7 papers) and Cryptography and Data Security (5 papers). Shumin Han collaborates with scholars based in China, United States and Hong Kong. Shumin Han's co-authors include Yunhao Wang, Ying Xin, Xiaodi Wang, Gang Zeng, Mingyu Ding, Xiaokang Chen, Shentong Mo, Ping Luo, Jingdong Wang and Baochang Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Shumin Han

15 papers receiving 280 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Context Autoencoder for Self-supervised Representation Learning

2023 178 citations Xiaokang Chen, Mingyu Ding et al. International Journal of Computer Vision profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shumin Han China	7	190	122	38	19	18	20	288
Yunhao Wang China	5	161 0.8×	97 0.8×	23 0.6×	16 0.8×	11 0.6×	17	253
Yongxi Lu United States	4	252 1.3×	140 1.1×	30 0.8×	32 1.7×	12 0.7×	5	353
Ruijia Xu China	7	177 0.9×	228 1.9×	22 0.6×	16 0.8×	12 0.7×	9	353
Jiangyan Dai China	10	236 1.2×	79 0.6×	22 0.6×	17 0.9×	18 1.0×	29	341
Philomina Simon India	9	137 0.7×	71 0.6×	53 1.4×	12 0.6×	14 0.8×	30	281
Yuelong Xia China	8	136 0.7×	126 1.0×	55 1.4×	20 1.1×	10 0.6×	19	302
Sami Gazzah Tunisia	10	193 1.0×	127 1.0×	45 1.2×	22 1.2×	23 1.3×	25	324
Yun Wu China	9	126 0.7×	77 0.6×	35 0.9×	30 1.6×	18 1.0×	53	262
Kan Chen United States	10	300 1.6×	182 1.5×	33 0.9×	28 1.5×	14 0.8×	21	404

Countries citing papers authored by Shumin Han

Since Specialization

Citations

This map shows the geographic impact of Shumin Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shumin Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumin Han more than expected).

Fields of papers citing papers by Shumin Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shumin Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shumin Han. The network helps show where Shumin Han may publish in the future.

Co-authorship network of co-authors of Shumin Han

This figure shows the co-authorship network connecting the top 25 collaborators of Shumin Han. A scholar is included among the top collaborators of Shumin Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shumin Han. Shumin Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Xuerui, et al.. (2025). Development of an Innovative Physical-Geometry-Based Soil Moisture Retrieval Method for CYGNSS Constellations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 17490–17496.

Han, Shumin, et al.. (2025). High-Accuracy Mapping of Coastal and Wetland Areas Using Multisensor Data Fusion and Deep Feature Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 24546–24559.

Han, Shumin, et al.. (2024). Enhanced Multi-Party Privacy-Preserving Record Linkage Using Trusted Execution Environments. Mathematics. 12(15). 2337–2337.

Wang, Yunhao, Xiaodi Wang, Bin Zhang, et al.. (2024). MAFormer: A transformer network with multi-scale attention fusion for visual recognition. Neurocomputing. 595. 127828–127828. 8 indexed citations

Li, Hong, Song Xue, Xuhui Liu, et al.. (2024). UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation. 10585–10595. 3 indexed citations

Han, Shumin, et al.. (2024). A Multi-Party Privacy-Preserving Record Linkage Method Based on Secondary Encoding. Mathematics. 12(12). 1800–1800.

Han, Shumin, Yue Li, Derong Shen, & Chuang Wang. (2024). Comprehensive Evaluation Method of Privacy-Preserving Record Linkage Technology Based on the Modified Criteria Importance Through Intercriteria Correlation Method. Mathematics. 12(22). 3476–3476.

Han, Shumin, et al.. (2024). A Parallel Multi-Party Privacy-Preserving Record Linkage Method Based on a Consortium Blockchain. Mathematics. 12(12). 1854–1854. 1 indexed citations

Chen, Xiaokang, Mingyu Ding, Xiaodi Wang, et al.. (2023). Context Autoencoder for Self-supervised Representation Learning. International Journal of Computer Vision. 132(1). 208–223. 178 indexed citations breakdown →

10.

Dong, Wenkai, Song Xue, Xiaoyue Duan, & Shumin Han. (2023). Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models. 7396–7406. 17 indexed citations

11.

Han, Shumin, Derong Shen, Tiezheng Nie, Yue Kou, & Ge Yu. (2022). An enhanced privacy-preserving record linkage approach for multiple databases. Cluster Computing. 25(5). 3641–3652. 3 indexed citations

12.

Gu, Yi, et al.. (2021). Att-FPA: Boosting Feature Perceive for Object Detection. IEEE Access. 9. 47380–47390. 2 indexed citations

13.

Gu, Yi, et al.. (2021). Feature Rescaling and Fusion for Tiny Object Detection. IEEE Access. 9. 62946–62955. 10 indexed citations

14.

Xu, Sheng, et al.. (2021). Layer-wise Searching for 1-bit Detectors. 5678–5687. 20 indexed citations

15.

Han, Shumin, Derong Shen, Tiezheng Nie, Yue Kou, & Ge Yu. (2020). A private entity matching approach for multiple databases. Journal of Intelligent & Fuzzy Systems. 38(4). 4403–4414. 1 indexed citations

16.

Han, Shumin, Derong Shen, Tiezheng Nie, Yue Kou, & Ge Yu. (2020). Efficient private multi-party numerical records matching. Frontiers of Computer Science. 14(5). 1 indexed citations

17.

Li, Jia, et al.. (2019). Learning From Large-Scale Noisy Web Data With Ubiquitous Reweighting for Image Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(5). 1808–1814. 18 indexed citations

18.

Han, Shumin, Derong Shen, Tiezheng Nie, Yue Kou, & Ge Yu. (2017). Private Blocking Technique for Multi-party Privacy-Preserving Record Linkage. Data Science and Engineering. 2(2). 187–196. 4 indexed citations

19.

Han, Shumin, Xianguo Zhang, Yonghong Tian, & Tiejun Huang. (2012). An Efficient Background Reconstruction Based Coding Method for Surveillance Videos Captured by Moving Camera. 160–165. 1 indexed citations

20.

Gu, Jing, et al.. (2010). License Plate Location Based on Haar-Like Cascade Classifiers and Edges. 102–105. 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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